agentmods.dev

neqsim-vacuum-collapse-screening

neqsim-vacuum-collapse-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 76 tokens per session (1,553 once invoked), scanned A, original, Apache-2.0.

An educational calculator for estimating how much pressure can fall inside a closed vessel as its contents cool or condense. It also flags whether the resulting vacuum may exceed the vessel's external-pressure rating.

In plain words
What is it for?
Use it to screen blocked-in vessels exposed to cooldown, steam condensation, or other conditions that can create a vacuum.
Why use it?
It helps identify a possible vessel implosion risk during early review, before detailed vessel buckling and process calculations.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 4repo today A scan 76 tokens original Apache-2.0

Good fit Use it to screen blocked-in vessels exposed to cooldown, steam condensation, or other conditions that can create a vacuum.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-vacuum-collapse-screening
View source ↗ equinor/neqsim-community-skills equinor.github.io
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add equinor/neqsim-community-skills --skill neqsim-vacuum-collapse-screening
Clone the repo
git clone --depth 1 https://github.com/equinor/neqsim-community-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for neqsim-vacuum-collapse-screening

README.md
[![agentmods](https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-vacuum-collapse-screening/github.svg)](https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-vacuum-collapse-screening)
Your own site
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-vacuum-collapse-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-vacuum-collapse-screening/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for neqsim-vacuum-collapse-screening

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-vacuum-collapse-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-vacuum-collapse-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,553 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00076 $0.01553
Opus 5.5 $0.00030 $0.00621
Sonnet 5.5 $0.00015 $0.00311
Haiku 4.5 $0.00008 $0.00155

Measured 1mo ago against content hash ac05cf8f6eea, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-vacuum-collapse-screening scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

The scan reads SKILL.md. This mod also ships 4 executable files (examples/basic_vacuum_collapse_screening.py, src/vacuum_collapse_screening/__init__.py, src/vacuum_collapse_screening/model.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/safety/neqsim-vacuum-collapse-screening/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Vacuum Collapse Screening

Use this skill for public, educational vacuum-collapse (external-pressure implosion) screening examples. When a vessel is blocked in and cools down, the trapped vapour contracts and any condensable vapour (for example steam) condenses, so the internal pressure can fall below atmospheric and pull a vacuum. This skill provides a simple final-pressure estimate, a vacuum-depth indicator, and an external-rating flag that help agents structure early reverse-pressure questions before moving to a validated NeqSim constant-volume cooldown model and a vessel external-pressure (buckling) review.

When to Use

  • When a user asks for a quick, public vacuum-collapse triage for a blocked-in vessel.
  • When an agent needs a placeholder estimate of how deep a cooldown or condensation vacuum could be.
  • When examples must run without confidential vessel geometry, external-pressure ratings, or company vacuum design bases.

Inputs

  • initial_pressure: starting pressure in bara.
  • initial_temperature: starting temperature in C.
  • cold_end_temperature: final cooled temperature in C (must be below the initial temperature).
  • condensable_fraction: fraction of the initial vapour that condenses on cooldown, 0.0 to 1.0, default 0.0.
  • external_pressure_rating: vessel external-pressure (vacuum) rating in bara, default 0.0 for full vacuum.
  • atmospheric_pressure: atmospheric pressure in bara, default 1.01325.

Outputs

  • estimated_final_pressure_bara: ideal-gas constant-volume final pressure after cooldown and condensation.
  • vacuum_depth_bar: amount the final pressure sits below atmospheric, in bar (0.0 when no vacuum).
  • margin_to_rating_bar: final pressure minus the external-pressure rating; negative means the rating is exceeded.
  • vacuum_present: True when the final pressure is below atmospheric.
  • exceeds_rating: True when the final pressure falls below the external-pressure rating.
  • verdict: no_vacuum, vacuum_within_rating, or vacuum_exceeds_rating.
  • collapse_warning: ok, watch, or high.
  • assumptions: public assumptions used by the placeholder model.

Read the full file on GitHub · 118 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 118 lines · 76 tokens per session scan A ac05cf8f6eea

Subscribe to this mod's changes

neqsim-vacuum-collapse-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 76 tokens to every session and 1,553 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-19.

Scientific
Related

neqsim-vacuum-collapse-screening compared with skills from other repositories

neqsim-vacuum-collapse-screening next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
neqsim-vacuum-collapse-screeningequinor/neqsim-community-skillsSkill4todayApache-2.0A76Claude Code, Codex
instrument-data-to-allotropeanthropics/knowledge-work-pluginsSkill35k3d agoApache-2.0A123Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA83Claude Code
matlabK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA44Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA71Claude Code, Codex
research-engineerdavila7/claude-code-templatesSkill33kyesterdayMITA43Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmedSkill5.8kyesterdayApache-2.0A205Claude Code